Adrian Spurr

About me

I am a PhD student at ETH Zurich, working in the Advanced Interactive Technologies lab with Professor Otmar Hilliges. I received my BSc (2015) and MSc (2017) degrees from ETH Zurich in Computer Science. I have completed an internship between March'19-December'19 an internship at the Learning and Perception Research group at NVIDIA.

Research Interests

My research interests lie at the intersection of machine learning, human computer interaction and vision, focusing on leveraging sparsely or weakly labeled data. My current reserach focus lies in the following domains:

3D hand pose estimation from monocular RGB
Reducing the reliance on fully labeled data for computer vision

If you are a student that is interested in working with me, please take a look at the available projects in sirop. Alternatively, if you have an interesting proposal of your own, I am open to discussing your idea. In that case, please contact me via email.

Publications

A Skeleton-Driven Neural Occupancy Representation for Articulated Hands

Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, Siyu Tang

International Conference on 3D Vision (3DV), 2021

Accepted as Oral Presentation

Paper

Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation

Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael Black, Otmar Hilliges

International Conference on 3D Vision (3DV), 2021

Accepted as Oral Presentation

PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning

Adrian Spurr*, Aneesh Dahiya*, Xi Wang, Xucong Zhang, Otmar Hilliges * Equal contribution

International Conference on Computer Vision (ICCV), 2021

Accepted as Oral Presentation

Video

Paper

Code

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Gregory Rogez, Vincent Lepetit, Tae-Kyun Kim

European Conference on Computer Vision (ECCV), 2020